Abstract
Objectives: To assess the prevalence of glucagon-like peptide-1 receptor agonist (GLP-1RA) use
and interest in using medications for weight loss among adults in Great Britain.
Design: Nationally-representative household survey, January-March 2025.
Setting: Great Britain.
Participants: 5,893 adults (≥ 18y).
Main outcome measures: Participants were asked whether they had used medication in the past
year to manage type 2 diabetes (excluding insulin), reduce the risk of heart disease, or support
weight loss and, if so, whether they had used five specific GLP1-RAs. Those who had not used
medication to support weight loss in the past year were asked how likely they would be to consider
doing so in the next year. Estimates were reported stratified by participant characteristics and
extrapolated to the national population.
Results
Overall, 2.9% [2.4-3.4%] – ~1.6 million adults – reported using a GLP-1RA to support
weight loss in the past year, with 1.7% [1.4-2.1%] (~910,000 adults) using them exclusively for this
purpose. The majority of those who used them exclusively for weight loss (91.4% [85.6-97.2%])
reported using GLP-1RAs that are licensed for this purpose in Great Britain, most commonly
Mounjaro (tirzepatide; 80.2% [71.9-88.6%]). Of those who had not used weight-loss medication in
the past year, 6.5% [5.7-7.3%] (~3.3 million adults) expressed an interest in doing so in the next
year. Use and interest were more prevalent among women, people in mid-life, and those reporting
past-month psychological distress. Interest was also higher among people facing greater
socioeconomic disadvantage, including those in financial difficulty or unemployed due to long-term
illness or disability.
Conclusions
In the first quarter of 2025, 4.2 million adults in Great Britain – nearly one in ten –
either had recently used a GLP-1RA to support weight loss or were interested in doing so in the
near future. A substantial minority reported using a type of GLP-1RA that was not licensed for
weight management, suggesting off-label use. Interest was particularly high among less
advantaged socioeconomic groups, while use was similar across groups, highlighting the
importance of addressing equity in access. These findings underscore the need to monitor who is
accessing these medications and to ensure their safe, appropriate, and equitable provision.
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3
Registration: The study protocol and analysis plan were pre-registered on Open Science
Framework (https://osf.io/r2whq/).
Key words: semaglutide, liraglutide, tirzepatide, Ozempic, Wegovy, Saxenda, Mounjaro
Introduction
The high prevalence of obesity in Great Britain presents significant public health challenges,
increasing the risk of chronic diseases and placing a substantial burden on the National Health
Service (NHS).1,2 Advancements in pharmacotherapy, particularly glucagon-like peptide-1 receptor
agonists (GLP-1RAs), have emerged as a promising tool for weight management. Originally
developed and increasingly used for the treatment of type 2 diabetes, these medications have
proven highly effective in promoting weight loss, at least during treatment,3–5 sparking widespread
public interest. They also have cardio-protective effects, reducing the risks of heart attack, stroke,
and cardiovascular mortality
6,7 and may help to reduce substance use disorders (e.g., alcohol and
tobacco use),8 but safety of long-term use is currently uncertain.9 Relatively little is known about the
current prevalence of the use of GLP-1RA medications in Great Britain,10 potential future demand,
and how interest and usage patterns vary across different population subgroups. Understanding
these factors is important for informing healthcare planning and resource allocation, promoting
patient safety, and addressing health inequalities.11
In the UK, several GLP-1RA medications are available, including semaglutide, liraglutide,
dulaglutide, exenatide, and lixisenatide. These are supplied under various brand names, some of
which have more than one indication (see
12 for a summary). In addition, tirzepatide is a GLP-1RA
combined with glucose-dependent insulinotropic polypeptide receptor agonist. GLP-1RA products
currently licensed for weight loss in the UK – Saxenda (liraglutide), Wegovy (semaglutide), and
Mounjaro (tirzepatide) – are licensed by the Medicines and Healthcare products Regulatory Agency
for patients who (i) have obesity (body mass index [BMI]
≥ 30 kg/m²) or (ii) have a BMI in the
overweight range (BMI ≥ 27 kg/m²) plus weight-related comorbidities, such as cardiovascular
disease.12 Clinical guidelines from the National Institute for Health and Care Excellence (NICE),13
making recommendations to the NHS to ensure value for money, set higher threshold for use.
NICE recommend tirzepatide and semaglutide for patients with at least one weight-related
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comorbidity and a BMI ≥ 35 kg/m² (or BMI ≥ 30 kg/m² and who meet the criteria for referral to
specialist weight management services, for semaglutide only) and liraglutide for patients with a BMI
≥ 35 kg/m², non-diabetic hyperglycaemia, and a high risk of cardiovascular disease. In England this
would equate to 3.4 million being eligible for the medications on the NHS.14 Given concerns about
cost and resources pressure on the NHS, the NHS in England plans a phased roll out, offering the
drugs to 220,000 people between 2025 and 2028.14
Public interest in, and use of, GLP-1RAs for weight loss is growing rapidly. In the United States, a
poll conducted in May 2024 (n=1,479) found that 6% of adults were currently using a GLP-1RA and
12% had ever used one.15 Among those who reported ever taking the drugs, most (61%) said they
took them to manage a chronic condition such as diabetes or heart disease, but around four in ten
(38%) said they took them solely to lose weight.15 Similarly, demand for these medications in the
UK appears to be high, with concern that the NHS is struggling to manage demand for weight-loss
drugs.
16 Prescribing data show sharp increases in prescription of semaglutide and tirzepatide
across NHS GP practices in England in 2024-25.17,18 A December 2024 poll (n=2,161) found that
22% of UK adults would use a GLP-1RA weight-loss drug if it were available on prescription
through the NHS,
19 although many of these may not be eligible according to NICE guidelines. Of
those surveyed, 5% had personally taken a GLP-1RA, while 9% knew friends or family members
who had used one.
19
Despite the growing interest in these medications, there is also concern about their misuse.
Anecdotal evidence and adverse drug reaction reports suggest some people are using GLP-1RAs
outside of licensed indications,
12 potentially posing health risks. Additionally, gastrointestinal side
effects (e.g., nausea, vomiting, diarrhoea, and constipation) are common,3,5 serious adverse effects
(e.g. pancreatitis) have been reported,11 and some people who use GLP-1RAs experience
malnutrition,20–23 further raising safety considerations. As these medications become more widely
used, it is essential to monitor their usage trends and to understand who is using them. With some
people accessing these medications outside of the NHS, traditional systems for understanding
usage (e.g., NHS prescribing data, Clinical Practice Research Datalink) cannot be relied upon to
provide accurate estimates. Triangulation with nationally-representative surveys is important for
providing a complete picture.
Gender differences may play a role in the demand for and usage of GLP-1RA medications. Severe
obesity (BMI
≥ 40) is more prevalent among women than men (4% vs. 2% among adults in England
in 2022)2 and women are more likely to seek and receive medical treatment for weight loss,24 so
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5
they may be prescribed these drugs at higher rates than men. Additionally, societal pressures
related to body image and weight management disproportionately affect women,25 which could
further drive interest in GLP-1RAs within this group.
Equity of access to these medications is another important factor.26 In the UK poll, just 8% said they
would use these medications for weight loss if they had to pay for them privately, compared with
the 22% who would take them if provided on prescription by the NHS.19 Given it currently costs in
the region of £200 per month to obtain these drugs privately,19 those with the financial means may
have greater access to treatment, potentially exacerbating health inequalities. This is particularly
concerning as obesity is more prevalent among socioeconomically disadvantaged groups,
particularly among women, according to area level deprivation and household income.
27,28
Given the rising public interest, potential supply challenges, and safety concerns, this study aimed
to assess the current prevalence of GLP-1RA use and level of interest in using these medications
for weight loss among the adult population in Great Britain. We also explored differences between
key population subgroups. A comprehensive understanding of these factors can help to inform
healthcare policy, ensure equitable access to treatment, and safeguard patient wellbeing.
Methods
Pre-registration
The study protocol and analysis plan were pre-registered on Open Science Framework
(https://osf.io/r2whq/).
Design
Data were collected via the Smoking Toolkit Study, a monthly cross-sectional survey of a
representative sample of adults (≥ 16 years) in Great Britain (i.e., England, Scotland and Wales).
The methods have been described in detail elsewhere.29–31 Briefly, the study uses a hybrid of
random probability and simple quota sampling to select a new sample of approximately 2,450
adults each month. Data are collected through telephone interviews. Sample weights are calculated
using raking to match the population in Great Britain. This profile is determined each month by
combining data from the UK Census, the Office for National Statistics mid-year estimates, and the
annual National Readership Survey.29 Comparisons with other national surveys and sales data
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6
indicate the survey achieves nationally representative estimates of key sociodemographic
variables.29
Between January and March 2025, all participants aged ≥ 18 years in England and ~50% in Wales
and Scotland were asked additional questions on past-year use of GLP-1RAs and interest in using
them for weight loss. This study analysed these data.
Measures
Past-year use of GLP-1RAs and GLP1-RA compounds (i.e., tirzepatide) was assessed with two
questions. The first asked: ‘In the last 12 months have you taken any medication to help you with
any of the following, or not?’ Participants were asked to indicate all that applied from the following
response options: (a) medication for type 2 diabetes, excluding insulin, to help manage your blood
sugar levels; (b) medication to lower the risk of heart disease; (c) medication to support weight loss
/ reduce food cravings; (d) I have not taken medication for any of these reasons. They could also
respond that they could not remember. Those who reported using medication (i.e., responded a, b,
or c) were then asked: ‘In the last 12 months, which, if any, of the following types of medication
have you taken [for type 2 diabetes/to lower the risk of heart disease/for weight loss]?’ (a) Saxenda,
containing liraglutide; (b) Ozempic, containing semaglutide; (c) Wegovy, containing semaglutide;
(d) Mounjaro, containing tirzepatide; (e) Rybelsus, containing semaglutide; (f) another type of
medication. Participants were asked to select all that applied. They could also respond that they did
not know. Those who responded to one of the named GLP-1RA, i.e. responses (a) to (e), to the
second question were considered to have used a GLP-1RA.
Interest in using medication for weight loss was assessed among those who did not report using
medication for weight loss in the past year (i.e., responded a, b, or d to the first question) with the
question: ‘In the next 12 months, how likely, if at all, are you to consider using a weight loss
medication to help you lose weight?’ Response options were: (a) very likely, (b) fairly likely, (c) not
very likely, (d) not at all likely, (e) I don’t need to lose weight. Participants could also respond that
they did not know. We provided descriptive data for all response options. For some analyses, we
dichotomised responses to a or b (likely to consider) vs. all other responses including don’t know.
We captured a range of sociodemographic characteristics. Gender was self-reported as man,
woman, or in another way; the latter group was excluded from analyses by gender due to low
numbers. Age was analysed as a continuous variable. Ethnicity was categorised as white vs.
minority ethnic group. Occupational social grade was categorised using National Readership
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7
Survey classifications32 as ABC1 (includes managerial, professional, and upper supervisory
occupations) and C2DE (includes manual routine, semi-routine, lower supervisory, state pension,
and long-term unemployed). Financial situation was assessed with the question: ‘How well would
you say you yourself are managing financially these days? Would you say you are (a) living
comfortably; (b) doing alright; (c) just about getting by; (d) finding it quite difficult; or (e) finding it
very difficult?’.33 Health-related economic inactivity was operationalised as participants reporting
that they are ‘not in paid work because of long-term illness or disability’, in response to a question
asking which of a list of different working statuses applies to them.
We also recorded information on participants’ health-related behaviours and mental health.
Smoking status was categorised as current, former, or never smoker. Level of alcohol consumption
was assessed with the Alcohol Use Disorders Identification Test—consumption (AUDIT-C; possible
range=0-12) and analysed as a continuous variable. As a general guide, AUDIT-C scores ≥ 5
indicate drinking at increasing or higher-risk levels (i.e., levels that increase someone’s risk of
harm).34 Psychological distress was assessed using the Kessler Psychological Distress Scale (K6),
which measures non-specific psychological distress in the past month (possible range=0-24).35,36
We categorised K6 scores as ‘no/low distress’ (0-4) or ‘moderate/severe distress’ (≥ 5).35,37 History
of eating disorders was assessed with the question: ‘Since the age of 16, which of the following, if
any, has a doctor or health professional ever told you that you had…?’ Responses were
dichotomised to distinguish between those who responded ‘an eating disorder’ and those who did
not. Due to limited availability of funding, the question assessing eating disorders was only included
in one of the three survey waves (February 2025), so analyses of this variable were restricted to
those surveyed in this wave.
Statistical analysis
Data were analysed using R v.4.4.1. All analyses used weighted data. Missing data were handled
using multiple imputation by chained equations. We imputed missing values under the assumption
of missing at random, using the mice package. Five imputed datasets were generated. The
imputation models included all variables used in the analysis (except history of eating disorders,
given it was only assessed in one wave; the imputation process was repeated separately for this
wave of data to provide complete data for analyses involving this variable). Analyses were
conducted separately on each imputed dataset and results were combined across imputations
using Rubin’s rules
38 to account for within- and between-imputation variance. Results were reported
as pooled estimates and confidence intervals (CIs).
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8
We estimated proportions (with 95% CIs) of adults who reported having used GLP-1RAs in the past
year (a) for any reason, (b) to manage type 2 diabetes, (c) to reduce the risk of heart disease, (d) to
support weight loss, and (e) exclusively to support weight loss (i.e., not also to manage type 2
diabetes or to reduce the risk of heart disease). We also reported these prevalence estimates
stratified by the specific medication used. Among adults who reported having used a GLP-1RA for
weight loss in the past year (at all, and exclusively for weight loss), we estimated the proportion
who used a medication licensed for weight loss in Great Britain (Saxenda, Wegovy, or Mounjaro).
Among adults who had not used a medication for weight loss in the past year, we estimated the
proportion who would be likely to consider using a weight-loss medication in the next year. We
applied these proportions to the most recent (2023) mid-year population estimates for Great
Britain
39 to approximate the number of adults using these medications in 2024 and the number who
would be interested in using them in the next year.
To explore differences in (i) past-year use of GLP-1RAs to support weight loss and (ii) interest in
using a weight-loss medication in the next year between population subgroups, we estimated these
proportions stratified by gender, age, ethnicity, occupational social grade, financial situation, health-
related economic inactivity, smoking status, alcohol consumption, past-month distress, and history
of eating disorders. We also examined proportions within intersections of gender and each other
variable (results are reported in the Supplementary File). Age and level of alcohol consumption
were analysed as continuous variables, modelled non-linearly using restricted cubic splines (with
three knots placed at the 5, 50, and 95% percentiles) to allow for flexible associations without
arbitrary categorisation. Estimates for continuous variables were predicted from unadjusted logistic
regression models that tested the association of age/level of alcohol consumption with each
outcome. We reported estimates for selected ages (18, 25, 35, 45, 55, 65, and 75) and AUDIT-C
scores (0, 3, 5, 8, 11) as an illustrative example of differences across ages and levels of alcohol
consumption. We also ran logistic regression models to analyse associations between each
participant characteristic and these two outcomes, adjusted for age and gender (or just age, for
gender-stratified analyses).
Results
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9
A total of 5,893 participants were invited to complete the GLP-1RA survey module, of whom 5,260
(89.3%) consented. Characteristics of the total eligible sample and those who consented are shown
in Table S1 alongside imputed data.
Prevalence of GLP-1RA use
Overall, 4.5% of participants reported using a GLP-1RA in the past year for any reason; 2.9%
reported using them to support weight loss, with 1.7% using them exclusively for weight loss (i.e.,
not also for type 2 diabetes or heart disease; Table 1). When extrapolated to the national
population, these figures suggest that approximately 1.6 million adults in Great Britain were using
GLP-1RAs to support weight loss in early 2025 (53.7 million adults x 2.9%), of whom 910,000 were
using them exclusively for weight loss (53.7 million x 1.7%).
There were some subgroup differences in the use of GLP-1RAs to support weight loss (Table 2).
Prevalence was more than twice as high among women than men (4.0% vs. 1.7%; OR=2.40 [1.62–
3.56]) – with an even greater difference in the proportion using them exclusively for weight loss
(2.8% [70.0% of female users] vs. 0.6% [35.3% of male users]; OR=4.44 [2.43–8.15]). There was a
non-linear (inverted U-shaped) association with age, with the highest prevalence of use of GLP-
1RAs to support weight loss among those in mid-life (e.g., 4.2% among those aged 45 and 55) and
lower prevalence in early adulthood (e.g., 1.2% among those aged 18) and later life (e.g., 1.5%
among those aged 75). Prevalence was also higher among those who reported moderate/severe
psychological distress (3.7% vs. 2.4% among those reporting no/low distress; OR=1.62 [1.13–
2.32]). It also appeared to be higher among those who reported a history of eating disorders (4.4%
vs. 2.1% among those who did not; OR=2.12 [0.69–6.53]), but there was substantial imprecision in
the estimate for this comparison given information on eating disorders was only collected in one of
the three survey waves and only a small proportion (4.2%) reported having received a diagnosis
(Table S1). There were no notable overall differences by ethnicity, socioeconomic markers,
smoking status, or level of alcohol consumption. However, among men, prevalence appeared to be
higher among those from less advantaged socioeconomic groups (i.e., those from occupational
social grades C2DE, those finding it difficult to manage financially, and those not in work due to
long-term illness or disability), whereas prevalence was more similar or showed the opposite
pattern among women (Table S2).
Types of GLP-1RAs being used
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The most commonly used GLP-1RA was Mounjaro (tirzepatide; 2.3%), followed by Ozempic
(semaglutide; 1.3%), Wegovy (semaglutide; 0.8%), Rybelsus (semaglutide; 0.6%), and Saxenda
(liraglutide; 0.4%; Table 1). Of note, Mounjaro was most commonly used to support weight loss; it
was three times more prevalent for this reason than the next most popular GLP-1RA (2.0% vs.
Wegovy at 0.6%; Table 1).
Among those who used a GLP-1RA for weight loss in the past year, 85.0% [79.3–90.7%] used a
medication licensed for weight loss in Great Britain – 69.5% [62.0–67.0%] reported using Mounjaro,
20.0% [12.9–27.0%] Wegovy, and 3.3% [0.0–6.8%] Saxenda (note that participants could select
multiple medications, so these values sum to more than the total; 19.4% [12.7–26.1%] of those who
reported using GLP-1RAs for any reason reported using more than one GLP-1RA – 0.7% [0.5–
1.0%] of all participants). Among those who used a GLP-1RA exclusively for weight loss, those
numbers were 91.4% [85.6–97.2%], 80.2% [71.9–88.6%], 21.4% [12.4–30.3%], and 0.9% [0.0–
2.6%], respectively.
Interest in using weight-loss medications
Among participants who had not used a GLP-1RA or other medication for weight loss in the past
year (96.0% [95.5–96.6%] of the sample), 6.5% [5.7–7.3%] said they would be likely to consider
using a weight-loss medication in the next year (2.5% [2.1–3.0%] very likely and 4.0% [3.4–4.6%]
fairly likely; Figure 1). This is approximately 3.3 million adults in Great Britain (53.7 million adults x
96.0% not used medication to support weight loss in the past year x 6.5%), of whom around 1.3
million (53.7 million x 96.0% x 2.5%) are very likely to consider it.
Interest in using weight-loss medications differed according to participant characteristics (Table 2).
Some of these differences mirrored patterns observed for past-year use of GLP-1RAs for weight
loss. The proportion who said they would be likely to consider using weight-loss medications in the
next year was higher among women than men (8.9% vs. 5.1%; OR=1.85 [1.44–2.38]; Figure 1),
those in mid-life (e.g., 9.7% among those aged 45 vs. 5.5% and 3.2% among those aged 18 and
75, respectively), and those who reported moderate/severe psychological distress (10.0% vs. 5.2%
among those reporting no/low distress; OR=1.81 [1.40–2.35]). It also appeared to be higher among
those who reported a history of eating disorders (13.2% vs. 7.3% among those who did not;
OR=1.59 [0.66-3.82]), but again, there was substantial imprecision.
There were also some subgroup differences that were not observed for past-year use (Table 2).
Interest in using weight-loss medications in the next year was higher among those in less
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11
favourable financial situations (e.g., 11.7% among those who reported finding it very difficult to
manage financially vs. 4.5% among those living comfortably; OR=2.01 [1.16–3.48]) and among
those who were not in work due to long-term illness or disability (13.4% vs. 6.7% of those not in this
situation; OR=1.85 [1.19–2.88]). It also appeared to be slightly higher among those from minority
ethnic groups (9.6% vs. 6.6% among white participants; OR=1.30 [0.91–1.86]), but this difference
was uncertain. There were no notable differences by occupational social grade, smoking status, or
level of alcohol consumption.
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Table 1. Past-year use of GLP-1 receptor agonists among adults (≥ 18y) in Great Britain
Prevalence, % [95% CI]
GLP-1RA used in past year
Authorised
indication(s)1
For any
reason
To manage
type 2
diabetes
To reduce the
risk of heart
disease
To support
weight loss
Exclusively to
support
weight loss
Any GLP-1RA listed below - 4.5 [3.8–5.1] 1.7 [1.3–2.0] 1.6 [1.3–2.0] 2.9 [2.4–3.4] 1.7 [1.4–2.1]
Saxenda, containing liraglutide WL 0.4 [0.2–0.5] 0.2 [0.0–0.3] 0.1 [0.0–0.3] 0.1 [0.0–0.2] 0.0 [0.0–0.0]
Wegovy, containing semaglutide WL, CRR 0.8 [0.5–1.0] 0.2 [0.1–0.3] 0.3 [0.1–0.5] 0.6 [0.3–0.8] 0.4 [0.2–0.5]
Mounjaro, containing tirzepatide WL, T2D 2.3 [1.9–2.7] 0.6 [0.4–0.9] 0.7 [0.4–0.9] 2.0 [1.6–2.4] 1.4 [1.1–1.7]
Ozempic, containing semaglutide T2D 1.3 [0.9–1.7] 0.6 [0.4–0.9] 0.6 [0.3–0.9] 0.5 [0.3–0.7] 0.2 [0.1–0.3]
Rybelsus, containing semaglutide T2D 0.6 [0.3–0.8] 0.5 [0.3–0.7] 0.3 [0.1–0.4] 0.3 [0.2–0.5] 0.1 [0.0–0.1]
CI, confidence interval. GLP-1RA, glucagon-like peptide-1 receptor agonist.
1 Authorised indications for use in the UK.12 WL, weight loss. CRR, cardiovascular risk reduction. T2D, type 2 diabetes.
Data shown are weighted estimates of the proportion (with 95% CI) of adults in Great Britain reporting past-year use of different GLP-
1RAs, overall (i.e., for any reason) and stratified by the reason for use. Note that reasons are not mutually exclusive, except
‘exclusively to support weight loss’, which excludes participants reporting use for any other reason.
Estimates stratified by gender are provided in Table S3.
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Table 2. Use of GLP-1 receptor agonists to support weight loss, and interest in using weight-loss
medication, by participant characteristics
Used GLP-1RAs to support
weight loss in the past year1
Interested in using weight-loss
medication in the next year2
% [95% CI] OR [95% CI]3 % [95% CI] OR [95% CI]3
Gender
Man 1.7 [1.1–2.3] Ref 5.1 [4.2–6.1] Ref
Woman 4.0 [3.2–4.8] 2.40 [1.62–3.56] 8.9 [7.7–10.1] 1.85 [1.44–2.38]
Age (years)4
18 1.2 [0.7–2.1] Ref 5.5 [3.8–7.9] Ref
25 1.8 [1.2–2.7] 1.53 [1.31–1.74] 6.8 [5.3–8.6] 1.26 [1.11–1.40]
35 3.1 [2.4–3.9] 2.64 [2.03–3.26] 8.7 [7.5–10.0] 1.67 [1.30–2.04]
45 4.2 [3.4–5.3] 3.74 [2.64–4.85] 9.7 [8.4–11.3] 1.91 [1.35–2.46]
55 4.2 [3.4–5.2] 3.71 [2.42–4.99] 8.6 [7.3–10.1] 1.66 [1.07–2.25]
65 2.9 [2.2–3.7] 2.46 [1.46–3.46] 5.8 [4.8–6.9] 1.07 [0.58–1.56]
75 1.5 [1–2.4] 1.27 [0.51–2.03] 3.2 [2.4–4.4] 0.57 [0.12–1.02]
Ethnicity
White 2.9 [2.4–3.4] Ref 6.6 [5.8–7.4] Ref
Minority ethnic group 2.9 [1.5–4.2] 1.05 [0.64–1.73] 9.6 [7.0–12.3] 1.30 [0.91–1.86]
Occupational social grade
ABC1 (more advantaged) 3.1 [2.5–3.7] Ref 6.8 [5.9–7.8] Ref
C2DE (less advantaged) 2.6 [1.7–3.4] 0.85 [0.57–1.27] 7.4 [6.0–8.7] 1.09 [0.84–1.41]
Financial situation
Living comfortably 2.9 [2.1–3.7] Ref 4.5 [3.4–5.7] Ref
Doing alright 2.6 [1.8–3.4] 0.88 [0.57–1.34] 6.4 [5.1–7.7] 1.26 [0.89–1.78]
Just about getting by 2.9 [1.8–4.1] 0.99 [0.61–1.62] 8.7 [7.0–10.5] 1.98 [1.40–2.80]
Finding it quite difficult 3.3 [1.5–5.1] 1.11 [0.58–2.12] 9.6 [6.6–12.6] 2.02 [1.28–3.19]
Finding it very difficult 3.7 [1.2–6.3] 1.17 [0.55–2.50] 11.7 [7.6–15.7] 2.01 [1.16–3.48]
Economically inactive due to
long-term illness or disability
No 2.8 [2.3–3.3] Ref 6.7 [5.9–7.5] Ref
Yes 4.3 [1.7–6.9] 1.26 [0.66–2.43] 13.4 [9.1–17.7] 1.85 [1.19–2.88]
Smoking status
Never 2.6 [2.0–3.3] Ref 6.4 [5.4–7.4] Ref
Former 3.6 [2.6–4.5] 1.35 [0.92–1.97] 8.1 [6.5–9.6] 1.26 [0.93–1.71]
Current 2.4 [1.2–3.7] 0.87 [0.48–1.56] 7.5 [5.3–9.6] 1.09 [0.76–1.56]
Table continues on next page.
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14
Table 2. continued
Used GLP-1RAs to support
weight loss in the past year1
Interested in using weight-loss
medication in the next year2
% [95% CI] OR [95% CI]3 % [95% CI] OR [95% CI]3
Level of alcohol consumption
(AUDIT-C)5
0 3.2 [2.4–4.3] Ref 8.3 [7.0–9.9] Ref
3 2.5 [2.0–3.3] 0.79 [0.41–1.17] 6.0 [5.0–7.2] 0.76 [0.49–1.02]
5 2.5 [1.9–3.3] 0.82 [0.39–1.26] 5.9 [4.9–7.1] 0.77 [0.46–1.07]
8 3.0 [2.2–4.1] 1.12 [0.66–1.58] 7.4 [6.0–9.0] 0.99 [0.64–1.33]
11 3.9 [2.0–7.4] 1.67 [0.92–2.42] 10.0 [6.6–14.8] 1.40 [0.81–1.99]
Past-month psychological
distress
None/low 2.4 [1.8–2.9] Ref 5.2 [4.3–6.1] Ref
Moderate/severe 3.7 [2.8–4.6] 1.62 [1.13–2.32] 10.0 [8.5–11.4] 1.81 [1.40–2.35]
History of eating disorders6
No 2.1 [1.4–2.9] Ref 7.3 [5.8–8.7] Ref
Yes 4.4 [0.1–8.8] 2.12 [0.69–6.53] 13.2 [4.0–22.4] 1.59 [0.66–3.82]
CI, confidence interval. OR, odds ratio.
1 Among adults in Great Britain.
2 Among those who had not used a GLP-1RA or other medication for weight loss in the past year.
3 Adjusted for age and gender (analyses by age are adjusted for gender only and analyses by
gender are adjusted for age only).
4 Predicted estimates from logistic regression models with age modelled using restricted cubic
splines. Note that the models used to derive these estimates included data from participants of all
ages, not only those who were aged exactly 16, 25, 35, 45, 55, or 65 years.
5 Predicted estimates from logistic regression models with AUDIT-C score modelled using restricted
cubic splines. Note that the models used to derive these estimates included data from all
participants who provided data on AUDIT-C, not only those who scored exactly 0, 3, 5, 8, or 11.
6 History of eating disorders was only assessed in February 2025; analyses were restricted to participants
surveyed in this wave.
Estimates stratified by gender are provided in Table S2 (use in the past year) and Table S4 (interest).
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15
Figure 1. Interest in using weight-loss medication among adults (≥ 18y) in Great Britain who have
not done so in the past year, overall and by gender
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16
Discussion
Our data suggest that in the first quarter of 2025, 4.9 million adults in Great Britain – nearly one
in ten – either had recently used medication to support weight loss or were interested in doing
so in the near future. Of these, approximately 1.6 million adults used GLP-1RAs for weight
management, with 910,000 (~60%) using them exclusively for this purpose. The majority
reported using GLP-1RAs that are licensed for weight loss in Great Britain, most commonly
Mounjaro (tirzepatide). Use and interest were more prevalent among women, people in mid-life,
and those reporting past-month psychological distress, and also appeared higher among those
with a history of eating disorders. Interest was also higher among people facing greater
socioeconomic disadvantage, including those in financial difficulty or unable to work due to long-
term illness or disability.
These data provide important insights into the emerging landscape of GLP-1RA use and
potential future demand in Great Britain. The substantial level of current use, combined with
even greater levels of interest, highlights growing public awareness of pharmacological options
for weight management. However, the gap between interest and current use suggests there
may be unmet demand. However, in the absence of data on people’s underlying medical risk
factors, it is not possible to understand the extent to which this reflects ‘true’ medical need, e.g.
meeting either current NICE criteria for weight loss medication or a lower threshold at which
health benefits outweigh the harms. While the numbers we estimate are for Great Britain as a
whole, it is noteworthy that the number using these medications for weight loss far exceeds the
initial expectation for NHS England to provide treatment for 220,000 people in the first three
years, which is likely to have important consequences for NHS budgets, although our estimate
is less than the number eligible according to NICE guidelines (3.4 million).
14 Part of the
discrepancy may reflect prescribing outside the NHS. It is unclear to what extent this use may
be driven by health concerns – and falls within either NICE recommendations or licensed use –
or desire to lose weight for other reasons. Nonetheless, this trend is consistent with broader
societal shifts towards medicalised approaches to managing obesity11,40 and points to a need for
healthcare systems and policymakers to decide how best to manage a continued surge in
demand.
Consistent with previous studies showing greater uptake of weight-loss treatments among
women,
24 we observed higher use and interest among women than men. This may reflect a
combination of factors, including greater social pressures on women regarding body image and
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17
weight,25 as well as gender differences in healthcare-seeking behaviour.41 Women have much
higher prevalence of severe obesity than men,2 and are typically more likely to engage with
health (and preventive) services,42 engage with weight management services and discuss
weight loss with healthcare professionals,24 which may facilitate greater access to emerging
treatments like GLP-1RAs.
We also identified socioeconomic patterns. Although current use of GLP-1RAs for weight loss
was relatively consistent across socioeconomic groups, this did vary by gender. Among men,
use was more common in less advantaged groups, while among women, use was relatively
consistent across socioeconomic strata. This may reflect higher prevalence of obesity-related
metabolic comorbidities among men compared to women, which may also be socially
patterned.
43,44 For men, from a health inequalities perspective it is encouraging that uptake is
higher among people from less advantaged groups. It is also unusual for the adoption of an
expensive new medication or new medical technology, and this finding warrants further scrutiny
and exploration. For women, one possible explanation is that women may be more likely than
men to access GLP-1RAs through private routes, which often require substantial out-of-pocket
costs
19 and may be less accessible to those with fewer financial resources. Further research is
needed to explore these findings more fully.
Interest in future use was higher among those experiencing financial hardship or unemployment
due to long-term illness or disability. The greater interest among groups disproportionately
affected by severe obesity2,45 and its related comorbidities may reflect a recognition of the
potential health benefits of weight-loss medications for these people.27,28 It may also reflect a
lack of perceived viable alternatives to lose weight: lifestyle interventions for weight
management (even very intensive, well-designed, multicomponent ones) have a very modest
impact on weight loss.46,47
Use of GLP-1RAs for weight loss and interest in future use were also higher among those
experiencing psychological distress and those reporting a history of eating disorders. This may
reflect the well-documented bidirectional relationship between mental health conditions – such
as depression, anxiety, and binge eating disorder – and obesity.48,49 Mental health disorders are
also more prevalent among women,50 which may contribute to observed gender differences in
GLP-1RA use and interest. Individuals with higher levels of psychological distress may be more
vulnerable to weight-related stigma or internalised weight bias,
51 leading to greater concern
about appearance and heightened motivation to seek pharmacological interventions. Greater
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18
body shame, weight concerns, anti-fat bias, and disordered eating behaviours have all been
linked to greater interest in using GLP-1RAs.52 However, the direction of these associations is
unclear and may be bidirectional. Emerging evidence has raised concerns about potential
adverse mental health effects associated with GLP-1RA use, including increased psychological
distress or suicidal ideation in some users, although data are currently limited and
inconclusive.
53,54 These patterns highlight the importance of further research to better
understand the relationship between mental health and both actual and intended use of GLP-
1RAs for weight management.
Another notable finding is the substantial proportion of past-year users who reported using GLP-
1RAs that are not licensed for weight loss (15.0% of all those who reported using a GLP-1RA to
support weight loss; 8.6% of those reporting use exclusively for weight loss), indicating off-label
prescribing55 or procurement through non-medical channels.56,57 This may highlight potential
issues in prescribing practices, patient understanding, and/or regulatory oversight. Some off-
label prescribing should be expected: in the UK, liraglutide has an indication for weight loss
only, but NICE guidelines list it as a treatment option for type 2 diabetes.
58 While off-license
prescribing can be common in some areas of medicine,59 it can also pose safety risks60 –
particularly when medications are accessed without appropriate clinical supervision. There are
concerns about GLP1-RA being purchased without a prescription through unregulated or illicit
channels, with very light medical supervision or being used outside their licensed use (i.e. at
lower BMI). Further work is needed, but this data raises further questions about their actual use
and whether appropriate safety standards are in place and being adhered to. Depending on how
these medications are being accessed, public health messaging warning of the potential harms
of purchasing online or from other non-medical outlets may also be helpful.
The rising demand for GLP-1RAs to support weight loss presents significant challenges for
healthcare systems such as the NHS. Responding to this demand safely and equitably, while
focusing on those with medical need, will require difficult decisions about access, prioritisation,
and resource allocation. These discussions are already underway and have led to a new
proposition about how to identify those with clinical need who would benefit most from these
drugs, although this is not without controversy.
61,62 Although widespread adoption of GLP-1RAs
has the potential to improve population health by reducing obesity-related diseases, the
financial implications are considerable. These medications are expensive,
11 are likely to require
long-term use, and scaling up provision could place a heavy burden on NHS budgets already
strained by the management of chronic conditions and recent structural reorganisations.63
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19
Equally the majority of the population thought they were not interested in using the medications,
and while attitudes may change, as with other medical interventions this might suggest limits on
public willingness to use them. While GLP-1RAs are generally considered cost-effective for
treating obesity in targeted populations,64–66 alternative strategies – such as expanding bariatric
surgery access, enhancing lifestyle intervention programmes, pharmaceutical management of
cardiometabolic comorbidities, or population-level policies should also be considered. These
may not yet have achieved an equivalent scale of impact compared to GLP-1RAs, but some
have not been tried at scale or with the intensity that is required, but may offer more cost-
effective, long lasting or equitable solutions.
11 Policymakers will need to balance the benefits of
increasing GLP-1RA access against broader public health investments, which have been slow
to be implemented (e.g., advertising and product promotion restrictions
63 that are not yet in
place, and which have been further delayed). Furthermore, it will be essential to ensure that
access is equitable, clinically justified, and aligned with evidence-based guidelines to prevent
widening health inequalities or encouraging inappropriate prescribing. In addition, there is a
need to ensure these medications remain available to those who need them for reasons other
than weight loss (over a third of users in 2024, according to our data; ~1.5 million people).
A key strength of this study is the relatively large, nationally representative sample. In addition,
the inclusion of demographic, socioeconomic, and psychological factors provides a detailed
picture of patterns of use and potential demand within different population subgroups. There
were also several limitations. All data were self-reported and relied on recall of the past year,
introducing scope for bias. Given the cross-sectional nature of the study, we were unable to
disentangle directional associations with time-varying sample characteristics and may have
been unable to detect some such associations. For example, while we did not observe an
association between alcohol consumption and past-year use of GLP-1RAs, it is possible that
those who used these medications initially had higher consumption but experienced reductions
in alcohol consumption between initiating medication use and completing the survey.
8 Due to
limited availability of funding for the GLP-1RA survey items, we were unable to collect more
detailed information about how and why people were accessing these medications. No data
were available on height and weight, so we were unable to explore differences by BMI status,
and cannot make assessments about the appropriateness of use against medical criteria for
use. We also did not ask specifically about all GLP-1RAs licensed in the UK, which may have
resulted in incomplete information on the types of medications used and caused us to
underestimate the overall prevalence of use. Further research is needed to explore the source
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20
of GLP-1RAs (e.g. NHS, private prescription in person, post/internet with a prescription,
post/internet with no formal prescription) and to assess the appropriateness of use (i.e., the
extent to which people who are using these drugs for weight loss fall within the indications of the
NICE guidelines). Regularly including these types of questions in a representative, repeat cross-
sectional household survey like the Smoking Toolkit Study would offer insights into how
population-level use of, and demand for, GLP-1RA medications for weight loss is evolving over
time. Qualitative research is also important for a richer understanding of people’s experiences of
accessing and using these medications.
In conclusion, this study highlights substantial demand for GLP-1RAs to support weight loss in
Great Britain. As drugs become more available, equitable access to these treatments should be
prioritised to meet the needs of all population groups, particularly those who may face barriers
to access despite high interest. At the same time, healthcare systems must be prepared for the
potential pressures on capacity and budgets. To support safe, effective, and equitable use,
there is a clear need for regular, population-level monitoring – not only of the prevalence and
patterns of use, but also of access, appropriateness, health outcomes, and broader system
impacts. Such surveillance will be essential to inform responsive healthcare planning, guide and
evaluate policy decisions, and ensure that these treatments deliver sustainable benefits without
widening health inequalities or overburdening healthcare resources.
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21
References
1 NHS Digital. Statistics on Obesity, Physical Activity and Diet, England 2021.
2021https://digital.nhs.uk/data-and-information/publications/statistical/statistics-on-obesity-
physical-activity-and-diet/england-2021/part-1-obesity-related-hospital-admissions
(accessed 10 Mar2025).
2 NHS Digital. Health Survey for England, 2022 Part 2. 2024https://digital.nhs.uk/data-and-
information/publications/statistical/health-survey-for-england/2022-part-2/adult-overweight-
and-obesity (accessed 10 Mar2025).
3 Pan X-H, Tan B, Chin YH, Lee ECZ, Kong G, Chong B et al. Efficacy and safety of
tirzepatide, GLP-1 receptor agonists, and other weight loss drugs in overweight and obesity:
a network meta-analysis. Obesity 2024; 32: 840–856.
4 Wong HJ, Sim B, Teo YH, Teo YN, Chan MY, Yeo LLL et al. Efficacy of GLP-1 Receptor
Agonists on Weight Loss, BMI, and Waist Circumference for Patients With Obesity or
Overweight: A Systematic Review, Meta-analysis, and Meta-regression of 47 Randomized
Controlled Trials. Diabetes Care 2025; 48: 292–300.
5 Guo H, Yang J, Huang J, Xu L, Lv Y, Wang Y et al. Comparative efficacy and safety of GLP-
1 receptor agonists for weight reduction: A model-based meta-analysis of placebo-controlled
trials. Obes Pillars 2025; 13: 100162.
6 Lincoff AM, Brown-Frandsen K, Colhoun HM, Deanfield J, Emerson SS, Esbjerg S et al.
Semaglutide and Cardiovascular Outcomes in Obesity without Diabetes. N Engl J Med
2023; 389: 2221–2232.
7 Marso SP, Bain SC, Consoli A, Eliaschewitz FG, Jódar E, Leiter LA et al. Semaglutide and
Cardiovascular Outcomes in Patients with Type 2 Diabetes. N Engl J Med 2016; 375: 1834–
1844.
8 Martinelli S, Mazzotta A, Longaroni M, Petrucciani N. Potential role of glucagon-like peptide-
1 (GLP-1) receptor agonists in substance use disorder: A systematic review of randomized
trials. Drug Alcohol Depend 2024; 264: 112424.
9 Thomsen RW, Mailhac A, Løhde JB, Pottegård A. Real-world evidence on the utilization,
clinical and comparative effectiveness, and adverse effects of newer GLP-1RA-based
weight-loss therapies. Diabetes Obes Metab 2025; 27: 66–88.
10 Sridhar D. We know so little about taking weight-loss drugs without prescription – is it really
worth it? The Guardian.
2025.https://www.theguardian.com/commentisfree/2025/feb/25/weight-loss-drugs-without-
prescription (accessed 4 Mar2025).
11 Mytton OT, Head V, Reckless I. Public health perspective on new weight loss medications.
BMJ 2024; 384: q196.
12 Medicines and Healthcare products Regulatory Agency. GLP-1 receptor agonists: reminder
of the potential side effects and to be aware of the potential for misuse. GOV.UK. 24 Oct
. CC-BY 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted June 6, 2025. ; https://doi.org/10.1101/2025.06.06.25329114doi: medRxiv preprint
22
24.https://www.gov.uk/drug-safety-update/glp-1-receptor-agonists-reminder-of-the-potential-
side-effects-and-to-be-aware-of-the-potential-for-misuse (accessed 4 Mar2025).
13 National Institute for Health and Care Excellence. Overweight and obesity management |
NICE guideline | NG246. 2025.https://www.nice.org.uk/guidance/ng246/chapter/Medicines-
and-surgery (accessed 21 May2025).
14 NHS England. Interim commissioning guidance: Implementation of the NICE Technology
Appraisal TA1026 and the NICE funding variation for tirzepatide (Mounjaro®) for the
management of obesity. 2025https://www.england.nhs.uk/publication/interim-
commissioning-guidance-implementation-of-the-nice-technology-appraisal-ta1026-and-the-
nice-funding-variation-for-tirzepatide-mounjaro-for-the-management-of-obesity/ (accessed
15 May2025).
15 Poll: 1 in 8 Adults Say They’ve Taken a GLP-1 Drug, Including 4 in 10 of Those with
Diabetes and 1 in 4 of Those with Heart Disease. KFF. 2024.https://www.kff.org/health-
costs/press-release/poll-1-in-8-adults-say-theyve-taken-a-glp-1-drug-including-4-in-10-of-
those-with-diabetes-and-1-in-4-of-those-with-heart-disease/ (accessed 4 Mar2025).
16 Correspondent PK Health. NHS struggling to cope with ‘overwhelming’ weight-loss drug
demand. 2024.https://www.thetimes.com/uk/healthcare/article/nhs-weight-loss-drugs-
mounjaro-ozempic-jq9n825pn (accessed 4 Mar2025).
17 Semaglutide (British National Formulary code 0601023AW). OpenPrescribing.
https://openprescribing.net/chemical/0601023AW/ (accessed 27 Mar2025).
18 Tirzepatide (British National Formulary code 0601023AZ). OpenPrescribing.
https://openprescribing.net/chemical/0601023AZ/ (accessed 27 Mar2025).
19 Campbell D, editor DCH policy. One in five Britons would use weight-loss drug if free on
NHS, poll reveals. The Guardian.
2024.https://www.theguardian.com/society/2024/dec/28/one-in-five-britons-weight-loss-
drug-free-nhs-poll (accessed 4 Mar2025).
20 Sheth K, Garza E, Saju A, Nazir N, Agarwal A. Wernicke Encephalopathy Associated With
Semaglutide Use. Cureus; 16: e61783.
21 Ali SA, Khadra M, Sitto M, Graifman M, Gietzen J. S4686 Semaglutide’s Hidden Perils: A
Rare Case of Malnutrition and Wernicke Encephalopathy. Off J Am Coll Gastroenterol ACG
2024; 119: S2964.
22 Sharma N, Vura NVRK, Shweikeh F, Ramirez-Osoria LC, Chakinala RC, Sharma AN.
S4690 Semaglutide-Linked Dry Beriberi: A Rare Adverse Reaction. Off J Am Coll
Gastroenterol ACG 2024; 119: S2967.
23 Foster S, Kyle A. From Weight Loss to Neurological Deficits: A Case of Wernicke’s
Encephalopathy Stemming From Prescription Weight Loss Medication. EM Resid.
2023.https://www.emra.org/emresident/article/wernicke-july-2023 (accessed 27 Mar2025).
24 Cooper AJ, Gupta SR, Moustafa AF, Chao AM. Sex/Gender Differences in Obesity
Prevalence, Comorbidities, and Treatment. Curr Obes Rep 2021; 10: 458–466.
. CC-BY 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted June 6, 2025. ; https://doi.org/10.1101/2025.06.06.25329114doi: medRxiv preprint
23
25 Murnen SK, Don BP. Body image and gender roles. In: Encyclopedia of body image and
human appearance. Academic Press: San Diego, 2012, pp 128–134.
26 Dellgren JL, Persad G, Emanuel EJ. International coverage of GLP-1 receptor agonists: a
review and ethical analysis of discordant approaches. The Lancet 2024; 404: 902–906.
27 Stiebahl S. Obesity statistics. 2025.https://commonslibrary.parliament.uk/research-
briefings/sn03336/ (accessed 10 Mar2025).
28 El-Sayed AM, Scarborough P, Galea S. Unevenly distributed: a systematic review of the
health literature about socioeconomic inequalities in adult obesity in the United Kingdom.
BMC Public Health 2012; 12: 18.
29 Fidler JA, Shahab L, West O, Jarvis MJ, McEwen A, Stapleton JA et al. ‘The smoking toolkit
study’: a national study of smoking and smoking cessation in England. BMC Public Health
2011; 11: 479.
30 Kock L, Shahab L, Moore G, Beard E, Bauld L, Reid G et al. Protocol for expansion of an
existing national monthly survey of smoking behaviour and alcohol use in England to
Scotland and Wales: The Smoking and Alcohol Toolkit Study. Wellcome Open Res 2021; 6:
67.
31 Jackson SE, Tattan-Birch H, Shahab L, Brown J. Trends in long term vaping among adults
in England, 2013-23: population based study. BMJ 2024; 386: e079016.
32 National Readership Survey. Social grade - definitions and discriminatory power.
2007.http:// www.nrs.co.uk/lifestyle.html (accessed 1 Oct2012).
33 Downward P, Rasciute S, Kumar H. Health, subjective financial situation and well-being: a
longitudinal observational study. Health Qual Life Outcomes 2020; 18: 203.
34 Rumpf H-J, Hapke U, Meyer C, John U. Screening for alcohol use disorders and at-risk
drinking in the general population: psychometric performance of three questionnaires.
Alcohol Alcohol 2002; 37: 261–268.
35 Kessler RC, Andrews G, Colpe LJ, Hiripi E, Mroczek DK, Normand S-LT et al. Short
screening scales to monitor population prevalences and trends in non-specific psychological
distress. Psychol Med 2002; 32: 959–976.
36 Kessler RC, Green JG, Gruber MJ, Sampson NA, Bromet E, Cuitan M et al. Screening for
serious mental illness in the general population with the K6 screening scale: results from the
WHO World Mental Health (WMH) survey initiative. Int J Methods Psychiatr Res 2010; 19:
4–22.
37 Prochaska JJ, Sung H-Y, Max W, Shi Y, Ong M. Validity study of the K6 scale as a measure
of moderate mental distress based on mental health treatment need and utilization. Int J
Methods
Psychiatr Res 2012; 21: 88–97.
38 Rubin DB. Multiple imputation. In: Flexible Imputation of Missing Data, Second Edition.
Chapman and Hall/CRC, 2018.
. CC-BY 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted June 6, 2025. ; https://doi.org/10.1101/2025.06.06.25329114doi: medRxiv preprint
24
39 Office for National Statistics. Population estimates for the UK, England, Wales, Scotland,
and Northern Ireland: mid-2022.
2024.https://www.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/popul
ationestimates/bulletins/annualmidyearpopulationestimates/mid2022 (accessed 2
May2024).
40 ROSE G. Sick Individuals and Sick Populations. Int J Epidemiol 1985; 14: 32–38.
41 Wang Y, Hunt K, Nazareth I, Freemantle N, Petersen I. Do men consult less than women?
An analysis of routinely collected UK general practice data. BMJ Open 2013; 3: e003320.
42 Bertakis KD, Azari R, Helms LJ, Callahan EJ, Robbins JA. Gender Differences in the
Utilization of Health Care Services. J Fam Pract 2000; 49: 147–152.
43 Koceva A, Herman R, Janez A, Rakusa M, Jensterle M. Sex- and Gender-Related
Differences in Obesity: From Pathophysiological Mechanisms to Clinical Implications. Int J
Mol Sci 2024; 25: 7342.
44 The Health Foundation. Inequalities in life expectancy and healthy life expectancy.
2025.https://www.health.org.uk/evidence-hub/health-inequalities/inequalities-in-life-
expectancy-and-healthy-life-expectancy (accessed 27 May2025).
45 Booth HP, Charlton J, Gulliford MC. Socioeconomic inequality in morbid obesity with body
mass index more than 40 kg/m2 in the United States and England. SSM - Popul Health
2017; 3: 172–178.
46 Singh N, Stewart RAH, Benatar JR. Intensity and duration of lifestyle interventions for long-
term weight loss and association with mortality: a meta-analysis of randomised trials. BMJ
Open 2019; 9: e029966.
47 Madigan CD, Graham HE, Sturgiss E, Kettle VE, Gokal K, Biddle G et al. Effectiveness of
weight management interventions for adults delivered in primary care: systematic review
and meta-analysis of randomised controlled trials. BMJ 2022; 377: e069719.
48 Avila C, Holloway AC, Hahn MK, Morrison KM, Restivo M, Anglin R et al. An Overview of
Links Between Obesity and Mental Health. Curr Obes Rep 2015; 4: 303–310.
49 Milaneschi Y, Simmons WK, van Rossum EFC, Penninx BW. Depression and obesity:
evidence of shared biological mechanisms. Mol Psychiatry 2019; 24: 18–33.
50 Piccinelli M, Wilkinson G. Gender differences in depression. Critical review. Br J Psychiatry
J Ment Sci 2000; 177: 486–492.
51 Pudney EV, Himmelstein MS, Puhl RM, Foster GD. Distressed or not distressed? A mixed
Methods
examination of reactions to weight stigma and implications for emotional wellbeing
and internalized weight bias. Soc Sci Med 2020; 249: 112854.
52 Markey CH, August KJ, Malik D, Richeson A. Body image and interest in GLP-1 weight loss
medications. Body Image 2025; 53: 101890.
. CC-BY 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted June 6, 2025. ; https://doi.org/10.1101/2025.06.06.25329114doi: medRxiv preprint
25
53 McIntyre RS. Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) and suicidality: what
do we know and future vistas. Expert Opin Drug Saf 2024; 23: 539–542.
54 Salvo F, Faillie J-L. GLP-1 Receptor Agonists and Suicidality—Caution Is Needed. JAMA
Netw Open 2024; 7: e2423335.
55 Aronson JK, Ferner RE. Unlicensed and off-label uses of medicines: definitions and
clarification of terminology. Br J Clin Pharmacol 2017; 83: 2615–2625.
56 Basch CH, Yousaf H, Hillyer GC. Online purchasing options for GLP-1 agonists:
Accessibility, marketing practices, and consumer safety concerns. J Med Surg Public Health
2025; 5: 100183.
57 Pearson SD, Whaley CM, Emond SK. Affordable Access to GLP-1 Obesity Medications:
Strategies to Guide Market Action and Policy Solutions. Institute for Clinical and Economic
Review, 2025https://icer.org/wp-content/uploads/2025/04/Affordable-Access-to-GLP-1-
Obesity-Medications-_-ICER-White-Paper-_-04.09.2025.pdf (accessed 28 Apr2025).
58 National Institute for Health and Care Excellence. Diabetes - type 2: GLP-1 receptor
agonists. 2025.https://cks.nice.org.uk/topics/diabetes-type-2/prescribing-information/glp-1-
receptor-agonists/ (accessed 27 May2025).
59 Eguale T, Buckeridge DL, Winslade NE, Benedetti A, Hanley JA, Tamblyn R. Drug, Patient,
and Physician Characteristics Associated With Off-label Prescribing in Primary Care. Arch
Intern Med 2012; 172: 781–788.
60 Van Norman GA. Off-Label Use vs Off-Label Marketing of Drugs. JACC Basic Transl Sci
2023; 8: 224–233.
61 Rubino F, Cummings DE, Eckel RH, Cohen RV, Wilding JPH, Brown WA et al. Definition
and diagnostic criteria of clinical obesity. Lancet Diabetes Endocrinol 2025; 13: 221–262.
62 Mytton OT, Campbell-Scherer D, Reckless I, Llewellyn C. Diagnosing and defining obesity.
BMJ 2025; 388: r460.
63 Department of Health and Social Care. Tackling obesity: empowering adults and children to
live healthier lives. 2020https://www.gov.uk/government/publications/tackling-obesity-
government-strategy/tackling-obesity-empowering-adults-and-children-to-live-healthier-lives
(accessed 23 Jun2021).
64 Evans M, Evans W, Godbeer F, Edgar L, Spaepen E, Davies AL. Analysis of Tirzepatide
Acquisition Costs and Weight Reduction Outcomes in the United Kingdom: Insights from the
SURMOUNT-1 Study. Adv Ther 2025. doi:10.1007/s12325-025-03194-8.
65 Kim N, Wang J, Burudpakdee C, Song Y, Ramasamy A, Xie Y et al. Cost-effectiveness
analysis of semaglutide 2.4 mg for the treatment of adult patients with overweight and
obesity in the United States. J Manag Care Spec Pharm 2022; 28: 740–752.
66 Hu Y, Zheng S-L, Ye X-L, Shi J-N, Zheng X-W, Pan H-S et al. Cost-effectiveness analysis of
4 GLP-1RAs in the treatment of obesity in a US setting. Ann Transl Med 2022; 10: 152.
. CC-BY 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted June 6, 2025. ; https://doi.org/10.1101/2025.06.06.25329114doi: medRxiv preprint
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. CC-BY 4.0 International licenseIt is made available under a
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The copyright holder for this preprint this version posted June 6, 2025. ; https://doi.org/10.1101/2025.06.06.25329114doi: medRxiv preprint
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Declarations
Ethics approval
Ethical approval for the STS was granted originally by the UCL Ethics Committee (ID 0498/001).
Participants provide informed consent to take part in the study, and all methods are carried out in
accordance with relevant regulations. The data are not collected by UCL and are anonymised when
received by UCL.
Competing interests
LS has acted as paid reviewer for grant awarding bodies and as a paid consultant for health care
companies.
Funding
This work was supported by Cancer Research UK (PRCRPG-Nov21\100002). JB is a member of
the Behavioural Research UK Leadership Hub which is supported by the Economic and Social
Research Council (ES/Y001044/1). For the purpose of Open Access, the author has applied a CC
BY public copyright licence to any Author Accepted Manuscript version arising from this
submission.
. CC-BY 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted June 6, 2025. ; https://doi.org/10.1101/2025.06.06.25329114doi: medRxiv preprint
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